Systemic approach for modeling a generic smart grid

TL;DR

This paper introduces a systemic modeling approach for smart grids, integrating various subsystems to enable scenario testing, validation, and scalable optimization of power, market, and demand resources.

Contribution

It presents a backbone model that simulates diverse smart grid components for scenario analysis and uses distributed optimization for flexible, scalable scheduling.

Findings

Enables testing of alternative smart grid scenarios

Supports validation of assumptions before detailed modeling

Achieves production and consumption scheduling through distributed optimization

Abstract

Smart grid technological advances present a recent class of complex interdisciplinary modeling and increasingly difficult simulation problems to solve using traditional computational methods. To simulate a smart grid requires a systemic approach to integrated modeling of power systems, energy markets, demand-side management, and much other resources and assets that are becoming part of the current paradigm of the power grid. This paper presents a backbone model of a smart grid to test alternative scenarios for the grid. This tool simulates disparate systems to validate assumptions before the human scale model. Thanks to a distributed optimization of subsystems, the production and consumption scheduling is achieved while maintaining flexibility and scalability.